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Technical Support Engineer
Отличная возможность для карьерного роста в быстрорастущем стартапе (Series D). Позиция 'founding member' в регионе дает большое влияние на процессы, а пакет бенефитов включает опционы.
Сложность вакансии
Роль требует высокого уровня автономности, так как это позиция 'основателя' команды в регионе. Необходимы глубокие знания SQL и опыт работы с облачными хранилищами данных (Snowflake, BigQuery).
Анализ зарплаты
Зарплата для опытных инженеров поддержки в Сиднее в технологическом секторе обычно выше среднего по рынку, особенно в компаниях с венчурным финансированием. Указанный диапазон соответствует уровню Senior/Founding Support в Австралии.
Сопроводительное письмо
I am writing to express my strong interest in the Technical Support Engineer position at Sigma Computing. With over three years of experience supporting enterprise data platforms and a deep proficiency in advanced SQL, I am excited about the opportunity to be a founding member of your Australian support team. My background in troubleshooting complex query plans and working with cloud data warehouses like Snowflake and BigQuery aligns perfectly with Sigma’s mission to transform BI through AI-driven analytics.
Throughout my career, I have thrived in high-growth environments where autonomy and cross-functional collaboration are key. I am particularly drawn to Sigma’s innovative approach to combining spreadsheet interfaces with powerful SQL/Python editors. I am confident that my technical expertise and commitment to delivering a first-class customer experience will allow me to effectively bridge the gap between regional customers and your US-based Engineering and Product teams, ensuring Sigma’s continued success as you scale globally.
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Описание вакансии
About the Role
Sigma is growing rapidly, and our Technical Support Engineering team is expanding globally to support an increasing customer base. We are launching Support in Australia and are looking for a founding team member to help establish and scale our presence in the region.
As a Technical Support Engineer at Sigma, you will join an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service. In this role, you will operate with a high degree of autonomy, helping customers solve complex technical, business, and data challenges using the Sigma platform while partnering closely with US-based Engineering, Product, and Go-to-Market teams.
As a founding Support team member in Australia, you will play a key role in shaping how we serve customers in the region and scaling our global Support presence.
What You Will Be Doing
- Work directly with Sigma’s customers and pre-sales team to diagnose and resolve complex technical issues, confidently owning escalations end-to-end
- Act as a regional extension of the global Support team, collaborating closely with US-based Engineering and Product partners across time zones
- Partner cross-functionally with backend, frontend, DevOps, Design, Product, and Go-to-Market teams to deliver a first-class customer experience
- Develop best practices and tooling to improve issue diagnosis and system performance, contributing to scalable support operations
- Operate independently in a high-growth environment, helping establish processes and standards as a founding member in the region
- Participate in quarterly projects and perform periodic on-call duties as part of a roster, with compensation or time-in-lieu provided in accordance with Australian employment standards
Qualifications
- 3+ years of experience supporting enterprise data or analytics products
- Strong foundation in computer science fundamentals, databases, and business intelligence
- Advanced SQL proficiency (JOINs, partitions, window functions, aggregations, CTEs, subqueries)
- Experience troubleshooting SQL performance and understanding query plans
- Proficiency in data modeling concepts
- Ability to translate data into clear and logical visualizations
- Proven ability to build trust with customers and resolve issues with confidence and ownership
- Excellent written and verbal communication skills, comfortable working cross-region with US- and UK-based teams
- A strong desire to build scalable processes and operate as a self-starter in a growing environment
- Highly collaborative, accountable, and energized by building something new
Highly Desirable Skills & Experience
- Experience supporting a cloud service in production
- Experience working with Snowflake, Databricks, Redshift, or BigQuery
- Knowledge of GCP and AWS
- Startup experience
About us:
Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.
Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.
Come join us!
Benefits For Our Full-Time Employees:
- Equity
- Generous health benefits
- Flexible time off policy. Take the time off you need!
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
- Lunch Program
- Dog friendly office
Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, and London.
Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).
Sigma’s use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
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Навыки
- SQL
- Snowflake
- Databricks
- Google BigQuery
- Amazon Redshift
- Python
- Google Cloud Platform
- Amazon Web Services
- Data Modeling
- Business Intelligence
Возможные вопросы на собеседовании
Вакансия требует продвинутого владения SQL для диагностики проблем производительности.
Расскажите о самом сложном SQL-запросе, который вам приходилось оптимизировать. Какие инструменты (например, query plans) вы использовали?
Роль предполагает работу в качестве первого сотрудника в регионе, что требует самостоятельности.
Опишите ситуацию, когда вам приходилось выстраивать процессы поддержки или документацию с нуля в условиях отсутствия локального руководства.
Sigma работает с современными облачными стеками данных.
Каков ваш опыт работы с Snowflake, Databricks или BigQuery? С какими специфическими проблемами интеграции вы сталкивались?
Инженер должен уметь объяснять сложные технические детали клиентам.
Как вы объясните бизнес-пользователю, почему его отчет в Sigma работает медленно, если проблема кроется в архитектуре базы данных?
Работа предполагает тесное взаимодействие с командами разработки в США и Великобритании.
Как вы организуете свою работу и коммуникацию при взаимодействии с коллегами из разных часовых поясов?
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